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Tytuł artykułu

The Use of Idea of Time Scaling to Reconstruction of Measuring System Input Signal

Autorzy
Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The way of reconstruction of measuring system input signal has been presented. The measuring system output signal is followed by classic feedback system containing “associated model” of measuring system. This model is represented with structure defined by state variable scheme. If error of follow-up action is small, then output of associated model and its accessible derivatives can be used to reconstruction of measuring system input. Due to virtual operation of slowing down the measuring system output signal and multi-option possibility of choice of form of “associated model” one can substantially improve the accuracy of follow-up action and input signal recovery. The examples confirming advantageous properties of proposed algorithm are attached.
Wydawca
Rocznik
Strony
303--307
Opis fizyczny
Bibliogr. 11 poz., rys., wykr., wzory
Twórcy
autor
  • West Pomeranian University of Technology, Faculty of Electrical Engineering, 37 Sikorskiego St., 70-313 Szczecin, Poland
Bibliografia
  • [1] Morawski R.: Unified approach to measurand reconstruction. IEEE Trans. on Instrum. and Meas., vol. 43, pp. 226-231, 1994.
  • [2] Madisetti K., Wiliams D.: The Digital Signal Processing Handbook, (Section VII - Inverse Problems and Signal Restoration), CRC Press, IEEE Press, 1998.
  • [3] Ruhm K.: The significant role of errors in metrology – justification by system theory. Proc. of XX IMEKO World Congress “Metrology for Green Growth”, Busan, Republic of Korea, September 2012.
  • [4] Żuchowski A.: The applications of operation of averaged differentiations in metrology. PAK, 1/2006, pp. 23-25 (in Polish).
  • [5] Żuchowski A., Boćkowska M.: Optimization of the process of measuring system input recovery based on averaged differentiation method and logarithmic characteristics of weight function spectrum. Proc. of 3rd Int. Conf. on Methods and Models in Automation and Robotics – MMAR, Międzyzdroje, Poland, vol. 2, pp. 671-676, September 1996.
  • [6] Krauss M., Woschni E.: Messinformationssysteme. VEB Verlag Technik, Berlin, 1975 (in German).
  • [7] Morawski R.: An application-oriented mathematical meta-model of measurement. Measurement, Elsevier, vol. 46, Issue 9, pp. 3753-3765, November 2013.
  • [8] Kalantar-Zadeh K.: Sensors. Springer, New York, 2013.
  • [9] Sinclair R.: Sensors and Transducers. Elsevier Ltd., 2001.
  • [10] Durnas M., Grzywacz B.: Application of idea of time scaling to synthesis of linear and non-linear control systems. Proc. of 7th IEEE Int. Conf. on Methods and Models in Automation and Robotics – MMAR, Międzyzdroje, Poland, vol. 1, pp. 283-290, August 2001.
  • [11] Levine W.: The control handbook. CRC Press INC., IEEE Press, 2000.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cb5740bf-0260-42d6-9988-43470b63ddcd
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